Triple
T10354131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freida Pinto |
E243953
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cory Tran
Cory Tran is an American adventure and lifestyle photographer known for his work with major brands and for being married to actress Freida Pinto.
|
E857932
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cory Tran | Statement: [Freida Pinto, spouse, Cory Tran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cory Tran Context triple: [Freida Pinto, spouse, Cory Tran]
-
A.
Topher Ngo
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
-
B.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
C.
Robbi Chong
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
-
D.
Shelby Chong
Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
-
E.
Felix Chong
Felix Chong is a Hong Kong filmmaker best known as the co-writer and co-creator of the acclaimed crime thriller series "Infernal Affairs," which inspired Martin Scorsese’s "The Departed."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cory Tran Triple: [Freida Pinto, spouse, Cory Tran]
Generated description
Cory Tran is an American adventure and lifestyle photographer known for his work with major brands and for being married to actress Freida Pinto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cory Tran Target entity description: Cory Tran is an American adventure and lifestyle photographer known for his work with major brands and for being married to actress Freida Pinto.
-
A.
Topher Ngo
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
-
B.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
C.
Robbi Chong
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
-
D.
Shelby Chong
Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
-
E.
Felix Chong
Felix Chong is a Hong Kong filmmaker best known as the co-writer and co-creator of the acclaimed crime thriller series "Infernal Affairs," which inspired Martin Scorsese’s "The Departed."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a30af88190b2ebf0daf758ed44 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618da0188190901026dd51ceaa46 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77045ea988190bd8e31f5f636f69b |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:58 a.m.